Jones AP, Homer JB, Murphy DL, Essien JDK, Milstein B, Seville DA.

Understanding diabetes population dynamics through simulation modeling

and experimentation. American Journal of Public Health 2006;96(3):488-494.

http://ajph.aphapublications.org/cgi/content/abstract/96/3/488

Fig 4.1 p 86 of Beyond Pleasure and Pain: How Motivation Works Book by E Tory Higgins OUP (2011).

Illustration of the relations among variables that contribute to the value experience. See also Effectiveness IM-2806

Interacting nested fast and slow adaptive cycles from Panarchy Book  ,Resilience thinking Book Brian Walker and David Salt Island Press 2006 and the http://www.resalliance.org/ Website, See also What is Panarchy at http://bit.ly/H9RFkL

Part of Urea Kinetic model for Clearance Experiments

From Evans RG and Stoddardt GL  1990 paper Soc Sci Med 31(12)1347-63 , also published in a book by Evans, Barer and Marmor, Why are some people healthy and others not?: The determinants of population health. This is a steady state model of IM-424 that ignores deaths and population increase. This is extended in IM-451

Detail from Incorporating organizational factors into Probabilistic Risk Assessment(PRA) of complex socio-technical systems: A hybrid technique formalization article. See full overview at  insight 

A stock flow structure used to show the unit of analysis, scope of study and context of the ED Four hour rule project, cloned from im-399 monthly flows

Update to the original IM-636 from around 2002 based on 2017 discussion/inquiry into improving private health insurance in Australia 

Base del modelo territorial de Ciudad Hermosa

Una adaptación del URBAN1 Model from Navid Ghaffarzadegan, John Lyneis and George P Richardson's How small system dynamics models can help the public policy process at System Dynamics Review 27: 22-44 (2011) (click here to view full paper). 

An adaptation of the URBAN1 Model from Navid Ghaffarzadegan, John Lyneis and George P Richardson's How small system dynamics models can help the public policy process. System Dynamics Review 27: 22-44 (2011) Conference version at http://bit.ly/HlxtZj  and LA Alfeld and AK Graham's Introduction to Urban Dynamics 1974 p 195.

An element of Perspectives: The Foundation of Understanding and Insights for Effective Action. Register at http://www.systemswiki.org/

Minimal model of glucose kinetics by Bergman, used to calculate insulin sensitivity from an Intravenous Glucose Tolerance Test (IVGTT). Plasma insulin I(t) enters a remote compartment X(t) where it is active in accelerating glucose G(t) disappearance into the periphery and liver, and inhibiting hepatic glucose production. Adapted from Minimal Models for Glucose and Insulin Kinetics: A Matlab implementation by Natal van Riel, Eindhoven University of Technology 2004 by Mark Heffernan.

Created in James Madison University's ISAT 341 Simulation and Modeling course by Joseph Straub and Andrew Funkhouser. Based on Mark Heffernan's Glucose-Insulin Insight Maker

Glucose Insulin Model Info:

Translated from Hormone.stm in Dynamic Modeling in the Health Sciences James L hargrove, Springer 1998, Ch 24 p255-261, by Mark Heffernan.

WIP for Continuity of care ISO Old Version From Wikipedia Replaced by IM-4008

Addition of glucagon hormone action to control glucose homeostasis extended from IM-586

ithink example from isee systems using receptors